Visualization Using Bokeh in Python

Things under legendu.net/outdated are outdated technologies that the author does not plan to update any more. Please look for better alternatives.

** Things under legendu.net/outdated are outdated technologies that the author does not plan to update any more. Please look for better alternatives. **

HoloViews and hvplot are much better alternatives which supports Bokeh as the backend.

Links

http://bokeh.pydata.org/en/latest/

Installation

sudo pip3 install bokeh jupyter holoviews

Usage

bokeh serve --allow-websocket-origin=*:5006 dash.ipynb

it seems that only 5006 works ... might be because ...

Questions

Can u combine bokeh and Jupyter Notebook to quickly prototype and then deploy? This requires support of Bokeh server in Jupyter Notebook.

bokeh, not numeric values, no corresponding warnings due to HTML ... be careful ...

bokeh serve --allow-websocket-origin=server_ip:5006 sliders.py

jupyterlab_bokeh

wajig install libgif-dev
sudo jupyter labextension install jupyterlab_bokeh